Abstract:
A system and method for method for identifying key points in a multimedia data element (MMDE). The method includes: identifying, via a computer vision system, a plurality of candidate key points in the MMDE, wherein a size of each candidate key point is equal to a predetermined size, wherein a scale of each candidate key point is equal to a predetermined scale; analyzing the plurality of candidate key points to determine a set of properties for each candidate key point; comparing the sets of properties of the plurality of candidate key points; and selecting, based on the comparison, a plurality of key points from among the candidate key points.
Abstract:
A method and system for providing contextual filters respective of an identified context of a plurality of multimedia content elements are provided. The method comprises receiving the plurality of multimedia content elements; generating at least one signature for each of the plurality of multimedia content elements; determining a context of each of the plurality of multimedia content elements based on its respective at least one signature, wherein a context is determined as the correlation among a plurality of cluster of signatures; and providing at least one contextual filter respective of the context of each of the plurality of multimedia content elements.
Abstract:
A method and system for providing recommendations to multimedia content elements of interest to a user. The method comprises receiving at least one multimedia content element; generating at least one signature for the received multimedia content element; querying a user profile of the user to determine a user interest; searching, by means of the at least one generated signature, through a plurality of data sources for multimedia content elements matching the determined user interest; and returning the matching multimedia content elements to the user node as recommendations.
Abstract:
A method and system for determining at least a size dimension of objects shown in multimedia content items are presented. The method includes receiving an input multimedia content item; identifying objects shown in the multimedia content item; generating at least a first signature for at least a first object of the plurality of objects and at least a second signature for at least a second object; identifying at least one concept that matches the at least a first object; determining an actual size of the first object respective of the match to the at least one concept; determining a size scale between the first object and the second object using the at least a first signature and the at least a second signature; and determining the at least size dimension of the second object respective of the size scale and the actual size of the first object.
Abstract:
A system and method for generating an advertisement effectiveness performance score of a multimedia content element displayed in a webpage are provided. The method includes determining an advertisement context of an advertisement; analyzing metadata associated with at least one prior advertisement to determine a prior advertisement success score; determining a multimedia context of the multimedia content element displayed in the webpage; matching the advertisement context to the multimedia context to determine a context matching score; and generating an advertisement effectiveness score at least based on the prior advertisement success score and the context matching score.
Abstract:
A method for tagging multimedia content elements is provided. The method comprises receiving at least one multimedia content element from a user device; generating at least one signature for the at least one multimedia content element; generating at least one tag based on the least one generated signature, wherein the at least one tag is searchable by the user device; and sending the tag generated for the received multimedia content element to storage on the user device.
Abstract:
A system and method for compatibility-based clustering of multimedia content elements. The method includes generating at least one signature for the multimedia content element; analyzing, by at least one compatibility engine, the generated at least one signature to determine at least one compatibility score, wherein each compatibility engine is associated with at least one cluster of multimedia content elements, wherein each compatibility engine is configured to compare the generated at least one signature to signatures of the associated at least one cluster, wherein the at least one compatibility score is determined based on the comparison; determining, based on the at least one compatibility score, at least one compatible cluster; and adding, to each compatible cluster, the multimedia content element.
Abstract:
A method and system for creating a database of multimedia content elements assigned to users are provided. The method comprises receiving at least one parameter identifying a user; receiving at least one multimedia content element from a user device; generating at least one signature to the at least one multimedia content element; searching for the existence of the at least multimedia content element in a database using the least one generated signature to determine whether each of the at least one multimedia content element is an existing multimedia content element or a non-existing multimedia content element; and generating a unique identifier using the at least one parameters for each non-existing multimedia content element; assigning the generated unique identifier to its respective non-existing multimedia content element; and storing each of the non-existing multimedia content elements and their respective unique identifiers in the database.
Abstract:
A system, method, and computer-readable medium for providing recommendations based on a user interest. The method includes: generating at least one signature for at least one multimedia content element; querying, based on the generated at least one signature, a user profile to identify the user interest related to the at least one multimedia content element; generating at least one contextual insight based on the user interest, wherein each contextual insight indicates a user preference; searching for at least one content item that matches the at least one contextual insight; and causing a display of the at least one matching content item as a recommendation.
Abstract:
A method and system for symbol-space based pattern compression. The method includes identifying a plurality of basic image symbols in an input sequence; assigning, to each of the plurality of basic image symbols, at least one connecting port; generating an output sequence by replacing each identified basic image symbol with an identification symbol, wherein the output sequence indicates connections between pairs of the plurality of basic image symbols based on the connecting ports, wherein each identification symbol is not a previously used symbol; and storing the output sequence as a data layer.